Gerardo Fanny stats
Career striking and grappling numbers for Gerardo Fanny, with every tracked fight below.
Back to Gerardo Fanny's profileCAGE-WARRIORS all-time stat leaders
Career totals
Across Cage Warriors · PFL
- Tracked bouts
- 3
- Strikes landed / min
- 3.72
- Strikes absorbed / min
- 3.47
- Takedowns / 15 min
- 0.95
- Control time
- 11%
- Average fight time
- 10:34
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Gerardo Fanny sits in the top 25.
By promotion
The same career numbers, one row per promotion.
| Promotion | Bouts | W–L | Significant strikes | Takedowns | Knockdowns | Control | Avg. time |
|---|---|---|---|---|---|---|---|
| Cage Warriors | 2 | 1–1 | 99 | 2 of 3 | 0 | 10% | 12:31 |
| PFL | 1 | 0–1 | 19 | 0 of 0 | 1 | 18% | 6:42 |
Fight by fight
Every bout we hold official statistics for, newest first.
Swipe for more columns →
| Date | Event | Opponent | Result | Significant strikes | Opp. sig. strikes | Total strikes | Takedowns | Knockdowns | Submission attempts | Control time |
|---|---|---|---|---|---|---|---|---|---|---|
| Jul 5, 2025 | PFL Europe 2: Brussels 2025 | Movsar Ibragimov | LOSS · SUB · R2 1:42 | 19 | 20 | 61 | 0 of 0 | 1 | 0 | 1:12 |
| Nov 11, 2023 | Cage Warriors 163: London | Shawn Marcos da Silva | LOSS · UD · R3 05:00 | 64 | 70 | 163 | 1 of 1 | 0 | 1 | 0:29 |
| May 6, 2023 | Cage Warriors 154: Rome | Tanio Pagliariccio | WIN · TKO · R3 00:01 | 35 | 20 | 100 | 1 of 2 | 0 | 0 | 1:55 |
Strike Distribution
Strike target
- Head72
- Body37
- Leg9
Totals across 3 tracked fights.
Strike position
- Distance105
- Clinch17
- Ground13
Totals across 3 tracked fights.
As published elsewhere
Career averages exactly as each source publishes them. The totals above are ours, computed from every tracked bout.
Pro MMASource: UFCalendar
- Significant strikes
- 3.72per min
- SApM
- 3.47per min
- Takedowns
- 0.95per 15 min
- Takedown accuracy
- 67%
- TD Def.
- 73%
- Submission attempts
- 0.5per 15 min
Get Gerardo Fanny's fight history and stats as JSON with the MMA Fight Data API →